Key information

Qualification type

PhD/DPhil - Doctor of Philosophy

Subject areas

Environmental Studies

Course type

Research

Course Summary

Research overview

Environmental Intelligence

The PhD in Environmental Intelligence programme is delivered by the UKRI Centre for Doctoral Training in Environmental Intelligence (CDT EI). The programme pioneers new research in using Data Science and Artificial Intelligence to understand the complex interactions between the environment, climate, natural ecosystems, human social and economic systems, and health.

The increasing availability of large and complex data sets from diverse sources (e.g. environmental monitoring; satellite remote sensing; climate modelling; electronic medical records; social media; and contributions from citizen science) presents an exceptional opportunity to transform our understanding of both the effects of environmental change and our planet-transforming power.

Careers

You will have the opportunity to work with the CDT’s external partners, including the Met Office, and a range of international institutions and businesses, to ensure that you are well versed in both cutting edge methodology and on-the-ground policy and business implementation. During your PhD there will opportunities for placements with our partners and to participate in the Alan Turing Institute’s PhD enrichment programme. Overall, the programme offers will allow you to develop skills highly sought after by employers, while also giving you the opportunity to create a professional network with employers.

Different course options

Full time | Streatham Campus | 4 years | SEP-20

Study mode

Full time

Duration

4 years

Start date

SEP-20

Tuition fees

UK fees

Course fees for UK / EU students

For this course (per year)

£4,400

Average for all Postgrad courses (per year)

£5,202

International fees

Course fees for non-UK / EU students

For this course (per year)

£21,100

Average for all Postgrad courses (per year)

£12,227

Entry requirements

We welcome applications from those who are expected to receive, a 1st class or 2:1 undergraduate degree in a wide variety of subjects relevant to the application of Data Science and AI to environmental challenges. These might include: Computer Science; Statistics; Mathematics; Climate; Health; Economics; Philosophy; Social and Environmental Sciences. For those without a computer science/mathematics background, additional training will be provided (if required) both before and after joining the CDT. We are happy to discuss alternative requirements for those with non-standard qualifications and/or experience.

University information

The University of Exeter is a public research university that is a member of the leading research- oriented UK universities, the Russell Group, The European University Association and the AMBA. As demonstrated in the REF 2014, 98% of the University of Exeter’s postgraduate research has been rated to be of international quality.
Out of their 23,613 students, 4,681 of these are postgraduates. There are three main campuses to study at, with most...more